Current Medicinal Chemistry - Volume 32, Issue 25, 2025
Volume 32, Issue 25, 2025
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Molecular Modeling Insights on the Pharmaceuticals and Hypotheses of Alzheimer’s Disease
Alzheimer's disease (AD) stands as the predominant contributor to dementia cases. The ongoing developments in our understanding of its pathogenesis have sparked the interest of researchers, driving them to explore innovative treatment approaches. Existing therapies incorporating cholinesterase inhibitors and/or NMDA antagonists have shown limited improvement in alleviating symptoms. This, in turn, highlights the urgency for the pursuit of more effective therapeutic options. Given the annual rise in the number of individuals affected by dementia, it is imperative to allocate resources and efforts towards the exploration of novel therapeutic options. This review aims to provide a comprehensive overview of the AD-related hypotheses, along with the computational approaches employed in research within each hypothesis. In this comprehensive review, the authors shed light on using various computational tools, including diverse case studies, in the pursuit of finding efficacious treatments for AD. The development of more sophisticated diagnostic techniques is crucial, enabling early detection and intervention in the battle against this challenging condition. The potential treatments investigated in this analysis are poised to assume ever more significant functions in both preventing and treating AD, ultimately enhancing the management of the condition and the overall well-being of individuals affected by AD.
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The Therapeutic Potential of Melatonin in Alzheimer's Disease: A Comprehensive Review
Authors: Jialang Zhang, Mingzhe Feng and Lingbo KongAlzheimer's Disease (AD) is the most common cause of dementia, afflicting over 5 million people in the United States. There remains a lack of effective disease- modifying treatments for AD beyond a few approved drugs that provide temporary symptomatic relief. Melatonin is an endogenous hormone mainly produced by the pineal gland that regulates circadian rhythms and possesses antioxidant and anti-inflammatory properties. An expansive body of research over the past few decades has investigated melatonin as a promising therapeutic agent for AD based on its ability to target multiple pathophysiological processes implicated in AD progression. In this comprehensive review, we summarize extensive evidence from cellular and animal models that has uncovered the diverse mechanisms underpinning melatonin's neuroprotective efficacy against AD pathology. We also synthesize clinical studies examining melatonin's effects on AD progression and symptoms. Additionally, we discuss how melatonin's multimodal mechanisms, favorable safety profile, and ability to synergize with conventional therapies heighten its potential as an effective therapeutic strategy for AD. Rigorously designed clinical trials incorporating physiological biomarkers are warranted to definitively establish melatonin's disease-modifying effects. Nevertheless, the considerable preclinical data support further exploration of melatonin as a therapeutic agent for AD.
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Liposomal Nanoformulation-encapsulated Paclitaxel for Reducing Chemotherapy Side Effects in Lung Cancer Treatments: Recent Advances and Future Outlooks
Authors: Kave Mohammad-Jafari, Seyed Morteza Naghib and M.R. MozafariPaclitaxel is one notable chemotherapy drug that is used to treat a number of cancers, including lung cancer. Nevertheless, it has drawbacks such as toxicity, low solubility in water, and the emergence of multidrug resistance (MDR). This article reviews the use of liposomal formulations to improve paclitaxel administration and efficacy for lung cancer therapy. Paclitaxel's pharmacological characteristics can be improved by liposomes through increased solubility, extended circulation, passive tumor targeting through leaky vasculature, and decreased side effects. Recent developments in paclitaxel liposomal formulations, including as cationic liposomes, conventional liposomes, targeted liposomes with particular ligands, and liposome-loaded microorganisms, are outlined in this article. In comparison to free paclitaxel, these nanoformulations exhibit enhanced cytotoxicity, cellular uptake, apoptosis, tumor growth suppression, and anticancer effects in lung cancer cell lines and animal models. One efficient way to get around the drawbacks of paclitaxel is to alter its size, makeup, and surface characteristics. This will let the medication accumulate and penetrate tumors more easily, avoid multidrug resistance, and cause less systemic toxicity. The article explores clinical studies showcasing the safety and therapeutic efficacy of liposomal paclitaxel for individuals afflicted with lung cancer. In its entirety, the document provides an in-depth examination of the potential enhancement in paclitaxel's dispersion and anti-tumor impacts through the utilization of liposomal technology when addressing diverse manifestations of lung cancer.
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Advances in Small-molecule Dual Inhibitors Targeting EGFR and HER2 Receptors as Anti-cancer Agents
Authors: Jia-Xiong Kang, Chao Li, Yi-Mei Cheng, Mouxin Huang, Guang-Kuan Zhao, Zhi-Liang Jin, Xiao-Wei Qi, Jing Gu and Qin OuyangAs members of the protein tyrosine kinase family, the Epidermal Growth Factor Receptor (EGFR) and Human Epidermal Growth Factor Receptor 2 (HER2) play essential roles in cellular signal transduction pathways. Overexpression or abnormal activation of EGFR and HER2 can lead to the development of various solid tumors. Therefore, they have been confirmed as biological targets for the development of anticancer drugs. Due to the fact that many cancers are highly susceptible to develop resistance to single-target EGFR inhibitors in clinical practice, dual inhibitors that target both EGFR and HER2 have been developed to increase efficacy, reduce drug resistance and interactions, and improve patient compliance. Currently, a variety of EGFR/HER2 dual inhibitors have been developed, with several drugs already approved for marketing or in clinical trials. In this review, we summarize recent advancements in small-molecule EGFR/HER2 dual inhibitors by focusing on structure-activity relationships and share novel insights into developing anticancer agents.
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An Overview of Acridine Analogs: Pharmacological Significance and Recent Developments
The clinical effectiveness of the available anticancer drugs has been reduced due to the development of drug resistance and serious adverse effects, which have restricted chemotherapy for cancer. Therefore, there is a persistent need for new anticancer medications with reduced side effects. Medical researchers are pursuing various methods to find new, potent, specifically targeted molecules for cancer treatment. Through various techniques, numerous molecules are discovered. However, among them, acridine stands out as a promising heterocycle that has captured the interest of medicinal chemists and acquired significant pharmacological value. The synthetic adaptability of acridine has enabled the creation of numerous derivatives with a wide range of architectural properties, further accelerating this broad spectrum of pharmacological activities. Recent studies have looked at the mechanisms by which acridine and its analogs inhibit tyrosine kinases, topoisomerases, telomerase, and DNA repair interaction. We have compiled our knowledge of acridine compounds for their anticancer activities, mechanisms of action, structure-activity relationship (SAR), and selective, specific activity against different cancer drug targets, as well as in vitro and in vivo anticancer activities of acridine and its analogs from the perspective of cancer drug discovery, in this review.
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Bioinformatics Analysis Screening and Identification of Key Biomarkers and Drug Targets in Human Glioblastoma
Authors: Chunlei Wang, Ozal Beylerli, Yan Gu, Shancai Xu, Zhiyong Ji, Tatiana Ilyasova, Ilgiz Gareev and Vladimir ChekhoninBackgroundGlioblastoma is the most common type of brain cancer, with a prognosis that is unfortunately poor. Despite considerable progress in the field, the intricate molecular basis of this cancer remains elusive.
AimThe aim of this study was to identify genetic indicators of glioblastoma and reveal the processes behind its development.
ObjectiveThe advent and integration of supercomputing technology have led to a significant advancement in gene expression analysis platforms. Microarray analysis has gained recognition for its pivotal role in oncology, crucial for the molecular categorization of tumors, diagnosis, prognosis, stratification of patients, forecasting tumor responses, and pinpointing new targets for drug discovery. Numerous databases dedicated to cancer research, including the Gene Expression Omnibus (GEO) database, have been established. Identifying differentially expressed genes (DEGs) and key genes deepens our understanding of the initiation of glioblastoma, potentially unveiling novel markers for diagnosis and prognosis, as well as targets for the treatment of glioblastoma.
MethodsThis research sought to discover genes implicated in the development and progression of glioblastoma by analyzing microarray datasets GSE13276, GSE14805, and GSE109857 from the GEO database. DEGs were identified, and a function enrichment analysis was performed. Additionally, a protein-protein interaction network (PPI) was constructed, followed by module analysis using the tools STRING and Cytoscape.
ResultsThe analysis yielded 88 DEGs, consisting of 66 upregulated and 22 downregulated genes. These genes' functions and pathways primarily involved microtubule activity, mitotic cytokinesis, cerebral cortex development, localization of proteins to the kinetochore, and the condensation of chromosomes during mitosis. A group of 27 pivotal genes was pinpointed, with biological process analysis indicating significant enrichment in activities, such as division of the nucleus during mitosis, cell division, maintaining cohesion between sister chromatids, segregation of sister chromatids during mitosis, and cytokinesis. The survival analysis indicated that certain genes, including PCNA clamp-associated factor (PCLAF), ribonucleoside-diphosphate reductase subunit M2 (RRM2), nucleolar and spindle-associated protein 1 (NUSAP1), and kinesin family member 23 (KIF23), could be instrumental in the development, invasion, or recurrence of glioblastoma.
ConclusionThe identification of DEGs and key genes in this study advances our comprehension of the molecular pathways that contribute to the oncogenesis and progression of glioblastoma. This research provides valuable insights into potential diagnostic and therapeutic targets for glioblastoma.
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Design, Synthesis, and Antitumor Potential of New Thiazole-contained 5-Fluoro-2-Oxindole Derivatives as Sunitinib Analogues
BackgroundIndole is considered the most promising scaffold for anticancer drug design due to its high bioavailability, unique chemical properties, and broad spectrum of pharmacological action.
ObjectiveTwelve novel thiazole-containing the 5-fluoro-1,3-dihydro-2H-indol-2-one derivatives as sunitinib analogs were designed and synthesized, and their anticancer activity was evaluated against the NCI-60 cancer cell lines.
MethodsThe thiazole-contained 5-fluoro-1,3-dihydro-2H-indol-2-one derivatives were synthesized using Knoevenagel condensation of 1,3-thiazole-5-carboxylic acid 1. Their anticancer activities were evaluated by NCI-60 one-dose screen assay. The molecular docking studies were performed using AutoDock tools and the AutoDock Vina programs. The ADMETlab 2.0 web server predicted the physicochemical properties of compounds.
ResultsAmong the synthesized new 5-fluoro-2-oxindole derivatives, compound 3g demonstrated high antitumor activity (GI>70%) against eight types of cancer: leukemia, breast cancer, ovarian cancer, lung cancer, melanoma, CNS cancer, renal cancer, and colon cancer. The most activity was observed against breast cancer (T-47D, GI=96.17%), lung cancer (HOP-92, GI=95.95%), ovarian cancer (NCI/ADR-RES, GI=95.13%), and CNS cancer (SNB-75, GI=89.91%). The molecular docking results of compound 3g demonstrated the possibility of inhibiting VEGF2 receptors as his potential anticancer mechanism. The physicochemical properties predicted for compounds 3f and 3g showed positive results.
ConclusionCompound 3g demonstrated high in vitro NCI-60 anticancer activity against nine cancer types and showed cell growth inhibition against leukemia, CNS, and breast cancer at 6 - 31% higher than Sunitinib, and may represent the basis for further modification of the thiazole-containing analogs of the anticancer drug Sunitinib.
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A Novel Disulfidptosis-related lncRNAs Prognostic Signature for Prognosis Predicting and Immune Microenvironment Characterization in Breast Cancer
More LessIntroductionBreast cancer (BRCA) is one of the leading causes of cancer-related death in women. The improvement of the BRCA risk assessment method is of positive clinical significance. Although many clues showed the potential role of disulfidptosis in BRCA as a novel type of programmed cell death, whether disulfidptosis is involved in BRCA tumorigenesis remains unclear.
MethodsWe used LASSO-univariate Cox analysis and multivariate Cox analysis to identify six disulfidptosis-related lncRNAs (DPLs) that correlated with BRCA clinical outcome and confirmed that these DPLs were independent prognostic factors for BRCA (YTHDF3−AS1, AC002398.1, AL451085.2, AC092718.4, AC097662.1 and AC053503.5). The BRCA risk prognosis model was subsequently established based on these DPLs.
ResultsAfter verifying the model reliability in predicting prognosis, immune infiltration and somatic mutation analysis showed significant differences in the immune microenvironment and mutation of DPLs by risk stratification. Immunotherapy response and drug resistance analysis suggest the reference value of DPLs in clinical individualized therapy.
ConclusionThe abnormal expressions of selected DPLs were further validated by the BRCA cell line experiment. Our results shed new light on the role of DPLs in BRCA.
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The IFT80/Hedgehog Pathway Regulates the Osteogenic-adipogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Authors: Mingyang Jiang, Ke Zhang, Yang Hu, Shenyi Lu, Guiqing Wei, Kaicheng Liu, Chuanliang Chen, Xiaochong Zou, Yongheng Dai, Ying Gui, Jing Wu, Huan Bo and Zhandong BoBackgroundSteroid-induced avascular necrosis of the femoral head (SANFH) is a typical refractory disease that often progresses irreversibly and has a high disability rate. Numerous studies have confirmed that abnormal osteogenic-adipogenic differentiation of bone marrow mesenchymal stem cells (BM-MSCs) is one of the major factors of SANFH. However, the mechanism remains to be elucidated.
ObjectivesThis study aimed to investigate the mechanism and effect of the IFT80/Hedgehog-mediated osteogenic-adipogenic differentiation of BM-MSCs in SANFH.
MethodsFemoral head specimens of SANFH patients and femoral neck fractures (FNF) patients were collected to detect the expression of IFT80, Shh and osteogenic-adipogenic differentiation-related genes by immunohistochemistry (IHC), western blot (WB) and Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR). Based on the rabbit SANFH model, the mRNA expression and protein level of IFT80 and Shh were detected by RT-qPCR and WB. After the osteogenic/adipogenic differentiation based on rabbit BM-MSCs, the IFT80, Gli1, PPAR-γ, and Runx2 expression were detected. Differences in alkaline phosphodiesterase activity, calcium nodule, quantification/distribution of lipid droplets, expression of IFT80/Hedgehog axis, and the level of osteogenic-adipogenic associated factors were determined after IFT80 overexpression.
ResultsRT-qPCR, WB and IHC revealed that IFT80 and Shh lowly expressed in the osteoblasts and intra-trabecular osteocytes at the edge of trabeculae and in the intercellular matrix of the bone marrow lumen in the SANFH specimens. The Runx2 expression was low, while the PPAR-γ expression was high in both human specimens and animal models of SANFH, suggesting that the balance of osteogenic-adipogenic differentiation was dysregulated. Rabbit BM-MSCs with stable overexpression of IFT80 showed increased alkaline phosphatase activity after induction of osteogenic differentiation, increased calcium nodule production, and decreased adipogenesis after induction of adipogenic differentiation.
ConclusionThere is a dysregulation of the balance of osteogenic-adipogenic differentiation in SANFH. IFT80 may inhibit adipogenic differentiation while promoting osteogenic differentiation in rabbit BM-MSCs by activating the Hedgehog pathway.
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Structural Basis of HIV-1 gp41 N-trimer for Designing Bifunctional Peptide-based Fusion Inhibitors
Authors: Jinlin Wang, Peiying Li, Ruijuan Li, Guodong Liang, Yuheng Ma and Heiya NaBackgroundPathogenic viruses that cause large-scale global or regional outbreaks almost always contain class I fusion proteins. Although the viruses differ in morphology, they all require fusion protein-mediated virus-host cell membranes during the early stages of host cell invasion.
MethodsThe CHR region and NHR region of fusion proteins can form the 6-HB structure to drive the fusion pore formation between viruses and host cells through metastable interactions. Here, we obtained bifunctional N-peptides with inhibitory activities against two viruses, HIV-1 and MERS-CoV, based on the sequences in the HIV-1 NHR region by constructing N-trimer conformation interacting with the CHR region.
ResultsThis study demonstrates that N-peptides with the coiled triple helix structure obtained from the NHR region in 6-HB are able to target the CHR region and exhibit inhibitory activity against a variety of viruses.
ConclusionMoreover, this strategy can be used to investigate antivirals against unknown viruses for future outbreaks.
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Single-Cell Nuclear Sequencing Atlas Revealed the Induction of Parkinson's Disease by RELN+ Neuron 3 and the Gene Regulatory Network of MSRA
More LessAimsTo determine the cell types that promoted the progression of Parkinson's disease (PD) using the substantia nigra in the brain tissues derived from patients with PD and normal controls.
BackgroundPD is an incurable neurodegenerative disease that threatens the physical activity of the aging population, and the complex molecular mechanisms remain be comprehensively elucidated.
ObjectiveTo describe potential disease-promoting cell types in PD and to provide a theoretical basis.
MethodsSingle-cell nuclear sequencing data of nine PD samples and control samples from Gene Expression Omnibus (GEO) were included, and heterogeneous cell subpopulations in the substantia nigra were identified by annotation analysis. Potential pathogenic cell subpopulations of PD were determined based on the expression data of marker genes. Cell differentiation trajectories and communication networks were generated by Pseudotime trajectory analysis and cell communication analysis. Furthermore, single- cell regulatory network inference and clustering (SCENIC) analysis was conducted to determine the regulatory network of transcription factor-target genes in PD.
ResultsAmong the nine cell subpopulations classified, RELN+neuron 3 showed reduced abundance and dopamine secretion capacity in PD and was therefore considered as a promoter of PD pathogenesis and progression. The regulatory network of MSRA action was involved in the developmental process of cells in the central nervous system, indicating that MSRA and its targets might serve as potential therapeutic targets for PD. RELN+neuron 3 had two directions of differentiation, specifically, branch 1 exhibited a high apoptotic profile and branch 2 exhibited a high cell death profile. In addition, the intensity of EPHA and EPHB signaling was attenuated between RELN+neuron 3 and other cell subpopulations.
ConclusionTo conclude, this study identified a subpopulation of RELN+neuron 3 cells with markedly reduced abundance in the brain substantia nigra in PD. The MSRA-involved gene regulatory networks was considered as a novel therapeutic network for PD.
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Clinicopathological and in silico Insights into Male Infertility: Age-related Trends and Anti-sperm Antibodies Post COVID-19 Vaccination
BackgroundInfertility was often considered a female issue, but male infertility emerged significantly after the COVID-19 pandemic. Hence, assessments are crucial for planning policies on health care and family planning and reasons thereof post vaccinations.
Materials and MethodsThe present study was a case-control, dual-centers, prospective study with normal sperm parameters. Semen samples collected by masturbation for idiopathic reasons were conducted at King Abdulaziz University with 133 samples, followed by molecular modeling via interaction between IZUMO1, Alpha2A adrenergic receptor, and Fibroblast growth factor receptor 2 protein with IgA antibody produced post vaccination/infection.
Results and DiscussionThe infertile males under 30 (21%), 31-40 (50%), 41-50 (24%) and over 50 (5%), with altered sperm motility grades are A (8.45%), B (11.1%), C (15.8%), and D (59.8%) were reported. Liquefaction times range from 36 to 30 minutes by age, with abnormal sperm percentages between 43.85% and 46.33%. Protein molecular interaction between IZUMO1, Alpha2A adrenergic receptor, and Fibroblast growth factor receptor 2 protein with IgA antibody shows cumulative length of 25.354 Å, 39.049 Å, and 41.999 Å, respectively, with significant interaction between atoms chain, amino acid, marked variation in bond length.
ConclusionMale infertility peaks at 31-40 years, with lowering in men aged 41-50 years, IgA antibody reduced sperm motility, causing immunogenic infertility exacerbated post-COVID-19 vaccination or infection. Interaction of IgA and various receptors produced stable interactive molecules of IgA and proteins on sperm, affecting motility, aliquefication, and abnormal sperm percentage disturbing the normal dynamics of sperm cells opening a new dimension of infertility among males.
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Volumes & issues
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Volume 32 (2025)
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Volume (2025)
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Volume 31 (2024)
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Volume 30 (2023)
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Volume 29 (2022)
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Volume 28 (2021)
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Volume 27 (2020)
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Volume 26 (2019)
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Volume 25 (2018)
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Volume 24 (2017)
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Volume 23 (2016)
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Volume 22 (2015)
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Volume 21 (2014)
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Volume 20 (2013)
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Volume 19 (2012)
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Volume 18 (2011)
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Volume 17 (2010)
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Volume 16 (2009)
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Volume 15 (2008)
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Volume 14 (2007)
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Volume 13 (2006)
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Volume 12 (2005)
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Volume 11 (2004)
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Volume 10 (2003)
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Volume 9 (2002)
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Volume 8 (2001)
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Volume 7 (2000)
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